ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. - Amith Kamath; Robert Poel; Jonas Willmann; Ekin Ermis; Nicolaus Andratschke; Mauricio Reyes 001 (EMBC, 2023)

How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? - Amith Kamath; Robert Poel; Jonas Willmann; Nicolaus Andratschke; Mauricio Reyes 001 (ISBI, 2023)

Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. - Amith Kamath; Jonas Willmann; Nicolaus Andratschke; Mauricio Reyes 001 (MICCAI (4), 2023)

Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation. - Elias Rüfenacht; Robert Poel; Amith Kamath; Ekin Ermis; Stefan Scheib; Michael K. Fix; Mauricio Reyes 001 (MICCAI (9), 2023)

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. - Elias Rüfenacht; Amith Kamath; Yannick Suter; Robert Poel; Ekin Ermis; Stefan Scheib; Mauricio Reyes 001 (Comput. Methods Programs Biomed., 2023)

AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy. - Zahira Mercado; Amith Kamath; Robert Poel; Jonas Willmann; Ekin Ermis; Elena Riggenbach; Lucas Mose; Nicolaus Andratschke; Mauricio Reyes 001 (CaPTion@MICCAI, 2024)

Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy. - Amith Kamath; Zahira Maur; Robert Poel; Jonas Willmann; Ekin Ermis; Elena Riggenbach; Nicolaus Andratschke; Mauricio Reyes 001 (MIDL, 2024)

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. - Aurélie Pahud de Mortanges; Haozhe Luo; Shelley Zixin Shu; Amith Kamath; Yannick Suter; Mohamed Shelan; Alexander Poellinger; Mauricio Reyes 001 (npj Digit. Medicine, 2024)